Machine Learning in Tamil | Part 5 | Underfitting and Overfitting Explained With Examples
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- Опубліковано 5 жов 2024
- machine learning in tamil, machine learning for beginners, machine learning full course in tamil, what is machine learning in tamil, machine learning tutorial in tamil, machine learning with python, data science full course in tamil, how to become machine learning engineer
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This is a video on machine learning in tamil tutorial. In this video I have covered topics like Underfitting and Overfitting with examples. This will be like a machine learning course for beginners and data science for beginners. If anyone want to learn data science in tamil or machine learning algorithms in tamil, you can refer these videos.
#machinelearning #technology #python #coding #datascience #machinelearningintamil #codingintamil #ai #tamiltutorial
Your videos have been instrumental in my programming journey. Thank you for sharing your expertise!
Thanks
Your videos are exceptionally superb. It's so easy to understand the concepts. Semmmeee👌
I just like to suggest one thing. Maybe at the end of this course it will be very useful and helpful if you show how to create a ML project(maybe like an example )applying the concepts 😊
Thankyou...Sure..video is on the way☺️
This playlist is very useful ...
Thanks a lot
Thank you for this wonderful video mam
Thankyou for watching 😊
Interesting. Thanks.
✌️
Hi sister , oru doubt time :6.30 la underfitting ku reason bias high and variance low ah iruntha varum nu soluvenga atha koncham explain pana mudiyuma bcz variance low ana nalla model thana . little confused ?
Variance low ah irunda good but bias high ah iruka kudathu. If bias is high it will always be one side and keep on predicting wrong value due to small data. For example if you have data set with 50 values..40 is yes 10 is no...so it will be biased and will predict yes always. So the bias should not be high. Hence it is under fitting. Hope u understand 🙏
@@chillandgrow Romba thanks for quick response . now understand very clearly once gain thank you so much :)
Apo generalized mam low bias and low variance iruntha
Sry pa I didn't get your question. Could u pls repeat.
@@chillandgrow for models underfitting and over fitting mathum dhan iruka aka generalized low bias low variance apdi edavuthu iruka
@@TAMILARASAN-bn8zj no pa. Bias and variance tells whether it is over fitting or under fitting. That's it. Hope you got it🙌
@@chillandgrow aka romba thanks unga explanation veralevel ✨✨✨I pray to God for u lot of surprises in 2024🌟🌟
@@TAMILARASAN-bn8zj Thankyou so much pa😊🙏🙏